{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 描述统计学--实践部分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>商品名称</th>\n",
       "      <th>一级分类</th>\n",
       "      <th>二级分类</th>\n",
       "      <th>7天点击量</th>\n",
       "      <th>定价</th>\n",
       "      <th>订单预定</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ASP.NET项目开发实战入门（全彩版）</td>\n",
       "      <td>编程语言与程序设计</td>\n",
       "      <td>ASP.NET</td>\n",
       "      <td>35</td>\n",
       "      <td>69.8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PHP项目开发实战入门（全彩版）</td>\n",
       "      <td>编程语言与程序设计</td>\n",
       "      <td>PHP</td>\n",
       "      <td>49</td>\n",
       "      <td>69.8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Java精彩编程200例（全彩版）</td>\n",
       "      <td>编程语言与程序设计</td>\n",
       "      <td>Java</td>\n",
       "      <td>51</td>\n",
       "      <td>79.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>零基础学PHP（全彩版）</td>\n",
       "      <td>编程语言与程序设计</td>\n",
       "      <td>PHP</td>\n",
       "      <td>64</td>\n",
       "      <td>79.8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>JSP项目开发实战入门（全彩版）</td>\n",
       "      <td>编程语言与程序设计</td>\n",
       "      <td>JSP/JavaWeb</td>\n",
       "      <td>26</td>\n",
       "      <td>69.8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   商品名称       一级分类         二级分类  7天点击量    定价  订单预定\n",
       "0  ASP.NET项目开发实战入门（全彩版）  编程语言与程序设计      ASP.NET     35  69.8     1\n",
       "1      PHP项目开发实战入门（全彩版）  编程语言与程序设计          PHP     49  69.8     0\n",
       "2     Java精彩编程200例（全彩版）  编程语言与程序设计         Java     51  79.8     2\n",
       "3          零基础学PHP（全彩版）  编程语言与程序设计          PHP     64  79.8     1\n",
       "4      JSP项目开发实战入门（全彩版）  编程语言与程序设计  JSP/JavaWeb     26  69.8     0"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 准备数据\n",
    "import pandas as pd\n",
    "df=pd.read_csv(\"F:\\python学习资料\\从入门到实践\\Python数据分析从入门到实践-源码\\\\04\\\\15\\JD.csv\",encoding='gbk')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "一级分类\n",
       "数据库            186\n",
       "移动开发           261\n",
       "编程语言与程序设计     4280\n",
       "网页制作/Web技术     345\n",
       "Name: 7天点击量, dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 聚合一级分类的7天点击量\n",
    "df_div1=df.groupby('一级分类')['7天点击量'].sum()\n",
    "df_div1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "平均值:1268.0\n",
      "方差:4036282.0\n",
      "离散系数:3183.187697160883\n"
     ]
    }
   ],
   "source": [
    "# 求一级分类7天点击量的统计量\n",
    "click_mean=df_div1.mean()\n",
    "print(f\"平均值:{click_mean}\")\n",
    "# 方差\n",
    "print(f\"方差:{df_div1.var()}\")\n",
    "# 离散系数\n",
    "print(f\"离散系数:{df_div1.var()/click_mean}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制七天点击量的条形图与饼图\n",
    "import matplotlib.pyplot as plt\n",
    "x=df_div1.index\n",
    "y=df_div1.values\n",
    "plt.rcParams['font.sans-serif']=['SimHei'] # 解决中文乱码\n",
    "plt.title(\"7天点击量\")\n",
    "plt.xlabel(\"一级分类\")\n",
    "plt.ylabel(\"点击量\")\n",
    "for a,b in zip(x,y):\n",
    "    plt.text(a,b+0.2,f\"{b}\",ha='center',fontsize=15)\n",
    "plt.bar(x,y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制饼形图\n",
    "plt.pie(y,labels=x,autopct='%.1f%%',textprops={'fontsize':14})\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
